Annual IEEE Connecticut Conference on Industrial Electronics, Technology & Automation
(CT-IETA 2016)
October 14 - 15, 2016
Sponsored by: University of Bridgeport & IEEE
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Keynote Speakers/Workshop/Tutorial/Panel

Keynote Speaker #1:
Dr. Dave

Dave W. Greve, Ph.D, Emeritus Professor of ECE, Carnegie Mellon University, USA

Time: Oct. 14, 2016 (Friday), 9:00am-9:45am
Title of speech: Industrial Applications of Ultrasonic Sensors

Abstract: Ultrasonic waves in solids have a number of important applications in industry. In this talk, we outline the principles behind some industrial sensors and discuss specific examples of applications. Ultrasonic waves are most commonly generated in solids by piezoelectric transducers. Piezoelectric materials provide for transduction between the mechanical and electrical domains. An electric field applied to a piezoelectric material causes a mechanical strain, and conversely a mechanical strain can be converted into an electrical signal. Thus the same transducer can be used to generate and detect an ultrasonic signal. As an example, piezoelectric transducers are often used to detect cracks or voids in mechanical structures. In some cases transducers are permanently mounted in critical locations for structural health monitoring. I will describe examples of this in recent projects where we have investigated ultrasonic transducers attached to pipes, steel plates, and high-pressure valves. In many of these examples advanced signal processing is crucial in detecting the onset of damage. In another quite different application, ultrasonic surface waves are used to implement temperature and gas sensing. Surface waves (also known as Rayleigh waves or surface acoustic waves) can be generated and detected on a piezoelectric substrate by means of interdigitated transducers. These surface waves have a temperature-dependent velocity (enabling temperature sensing) and also are strongly influenced by surface overlayers (thus allowing for gas sensing). I will describe the construction and operation of surface acoustic wave sensors for temperature and gas sensing in a particular harsh environment application. A particularly intriguing characteristic of this type of sensor is its potential for operation in a wireless mode where the electrical connection between the sensor and the sensing electronics is replaced by an RF link. I will report on recent results of this type of wireless sensor and comment on its advantages and limitations.

Bio: David W. Greve received the Ph.D. degree in 1980 in Electrical Engineering from Lehigh University. He worked at Philips Research Laboratories, Sunnyvale, CA before moving to Carnegie Mellon University, where he became Professor in 1991. He became Emeritus Professor at Carnegie Mellon in 2016. His early research was directed at the technology and physics of the fabrication of silicon integrated circuits, including gas-phase epitaxial growth and plasma-activated processes such as plasma deposition and sputtering. His present research concerns the application of ultrasonic waves in structural health monitoring and in wireless sensors and the application of microwaves for sensing of particular flows. Much of this work has been in collaboration with the National Energy and Technology Laboratory. He is the author of about 100 peer-reviewed journal publications, 160 proceedings papers, and several invited review papers and book chapters and has been a regular participant at the International Ultrasonics Symposium both as a presenter and as an organizer.

Keynote Speaker #2:
Dr. Li

Li Chen, PhD, Associate Professor, Department of Computer Science and Information Technology, University of District of Columbia, USA

Time: Oct. 15 (Saturday), 2016 at 10:00am-10:45am,
Title of speech: Data Science: Recent Developments and Future Trends

Abstract: Data contains science. How data is handled today is much different than the classical mathematical approach of using models to fit the data. Today, people find rules and properties within the data set and sometimes among different data sets. In this talk, we will explain data science and its relationship to BigData, cloud computing, and data mining. We also discuss current research problems in data science and provide concerns related to the data science industry. This talk will give a comprehensive view of the future of data science. Emphasizing the bridges between computer science, math, engineering, and industry, we will explain why data science would serve as a tremendous engine to developing new computing and math theories stemming from the current needs in the engineering and IT industries. Data science is the study of: (1) The science of data, (2) Knowledge extraction from massive data sets (BigData) mainly using machine learning, (3) Data and data set relations, (4) BigData processing including tools such as Hadoop and Spark on cloud computing, and (5) Visualizations of massive data and human-computer interactions. In this talk, we give an overview of data mining and machine learning methods such as kNN, k-means, SVM, decision trees, PCA, and other popular methods. We also introduce timely problems for study including: smart search (also called the matrix completion problem or the Netflix problem), the subspace problem, financial data recovery, video tracking, and persistent data processing.

Bio: Li Chen is currently an Associate Professor of computer science at the University of the District of Columbia. He received his BS, MS, and PhD in CS from Wuhan University (1982), Utah State University (1995), and the University of Bedfordshire (2001), respectively. Chen has worked in both academia and industry. He was a lecturer at South East University and Wuhan University in China before serving as a visiting assistant professor at the University of North Dakota, visiting associate professor at the University of Maryland, and adjunct professor at Virginia Tech. In industry, he worked for companies as a senior software engineer. Chen has been an active member of ACM since 2008. He has been the Education Column coordinator of ACM SIGACT Newsletters for several years. Chen has published more than 65 researcher papers in journals and conference proceedings including Discrete Mathematics; Theoretical Computer Science; Topology and its Applications; IEEE Systems, Man, and Cybernetics; Information Science; the Chinese Science Bulletin; and the Chinese Journal of Computers. He also holds a United States patent. In addition to his research, Chen has published a total of five books including the recently published “Digital and discrete geometry” (Springer, 2014), “Digital functions and data reconstruction" (Springer, 2012), and “Mathematical problems in data science" (written with colleagues, Springer, 2015 forthcoming). Chen also writes articles in CS and applied math education. Chen has given professional talks on various topics in many universities and colleges including the University of Toronto, University of Maryland, George Mason University, Rutgers University, NIH, and Georgetown University. He was a visitor of DIMACS (Rutgers-Princeton) and a Scientific Researcher in the Fields Institute at the University of Toronto. Chen has received several awards including the SEAS Outstanding Research Award (UDC, 2015), Outstanding Teacher at Wuhan University (1990), and the Award Research Fund of Chinese Academy of Science for Young Scientists (1987). Chen's research interests are broad in computer science and applied mathematics and include applied algorithm design, digital and discrete geometry, image processing, and applications to data science. He has made contributions to several research areas of computer science and its applications including: (1) the construction of gradually varied surfaces, (2) lambda-connected image segmentation methods, (3) the digital form of the Gauss-Bonnet theorem, (4) the polynomial time algorithm for finite Abelian group decomposition, (5) the definition of digital manifolds and classification of 3D digital surfaces, and (6) the optimum algorithm for the check matrix of the optimal SEC-DED code (optimal Hamming code). In 2014, Chen chaired the Satellite Conference on Data Science of International Congress of Mathematicians (ICM14).

Workshop:

Dr. Fan

Title: BioMEMS in Connecticut: Technology Innovation and Industry Landscape
Presenter:Rong Fan, Ph.D, Associate Professor of Biomedical Engineering, School of Engineering & Applied Science, Yale University, USA
Time: Oct. 15 (Saturday), 2016 at 9:00am-9:45am.

Abstract: The central coast region of Connecticut is a center for biotechnology and pharmaceutic industry, which employs more than 18,000 people and operates on >$6 billion annually, acting as an economic powerhouse of the state and together with the greater New York area representing the third largest biotech industry hub in the United States. The sustained growth has been largely attributed to a diverse portfolio of biotech endeavors comprising not only biological and pharmaceutical research but also the development of life science tools and medical devices, including bioMEMS, to support drug discovery, clinical validation, and commercialization.
The state of Connecticut has been at the forefront of developing new bioMEMS systems to empower biotechnology innovation in the era of human genomics and precision medicine. One of the pioneers in high-throughput next generation sequencing (NGS) technologies is 454 Life Sciences in Branford CT founded by Jonathan Rothberg and acquired by Roche Diagnostics in 2007 for $156 million. It completed the whole genome sequencing of an individual in 2007 (James Watson, the Nobel laureate who discovered DNA double helix). Its core technology is essentially a bioMEMS device with closely-packed ~30um microwells for trapping a large number of microbeads, each coated with an adapter-ligated oligomer to capture and amplify a target DNA fragment. All beads trapped in microwells are imaged simultaneously for fluorescence signals associated adding one nucleotide at a time complementary to the target DNA strand and this approach provides unprecedented throughput via massively parallel sequencing by synthesis on millions of DNA fragments on a single microchip. Another NGS tool company, Ion Torrent in Gilford CT, acquired by Life Technologies for $725 million, further advanced this microbead-in-well approach and developed a semiconductor sequencing technology, which uses a large array of CMOS sensors fabricated in microwells to monitor proton release triggered by nucleotide addition reaction occurring on the DNA probe-tagged microbeads. This device allows for much faster read speed compared to the optical imaging-based approach. It is highly favorable for applications such as targeted sequencing of mutations, non-invasive prenatal diagnosis (NIPD), and viral infection diagnosis. In the past 10 years, the sequencing tool companies in Connecticut have been playing a leading role in this space and supported the growth of human genomics and precision medicine industry in the state.
The development of bioMEMS devices for proteomics is another area that has reached fruition and strengthened the ecosystem of Connecticut’s biotechnology industry in the past 10 years. In addition to numerous protein design and recombinant antibody production companies in the state, the development of tools for proteomic analysis has been of long-standing interest. Protometrix, a company cofounded by Michael Snyder and acquired by Invitrogen/Life Technologies, manufactured protein microarray chips for human proteomics. Its product, ProtoArray® Human Protein Microarray, was the first high-density protein microarray and contains thousands of unique, full length human proteins, including kinases, phophatases, GPCRs, nuclear receptors, and proteases, fabricated on a 1 inch x 3 inch substrate. CyVek, co-founded by Per Hellsund, developed a transformative immunoassay microfluidics device, CyPlexTM, which integrates an innovatively designed microfluidic cartridge with a state-of-the-art analyzer to deliver the best performance in yielding “sample to answer” test results precisely and quickly. It was acquired by ProteinSimple/Bio-Techne with the goal to realize its full potential for broad market applicability. The state of Connecticut is at the forefront of proteomics technologies and remains a major player in this space.

Bio: Rong Fan is Associate Professor of Biomedical Engineering at Yale University. He received a Ph.D. in Chemistry from the University of California at Berkeley in 2006 and conducted postdoctoral training at Caltech where he was working on the development of integrated microsystems for proteomic analysis of cancer biomarkers and tumor-immune interaction. In 2010, he joined the faculty of Biomedical Engineering at Yale University. His recent work is centered on the development of an array of single-cell omics technologies to analyze deep functional cellular heterogeneity in human cancers and the immune system. He is also interested in microscale tissue engineering and in vitro modeling of human cancers for precision medicine. He is co-founder of IsoPlexis, a company aiming to develop single-cell functional proteomics technologies for drug discovery and companion diagnostics. He is the Advisory Board Chair of BioPath, an initiative launched by City of New Haven to develop biotech workforce for the greater New Haven area and the state of Connecticut. He is the recipient of numerous awards including the Howard Temin Pathway to Independence award (K99/R00) from National Cancer Institute, the NSF Early Stage Faculty Career Development (CAREER) Award, and the Packard Fellowship for Science and Engineering.

Tutorial:

Dr. Kumar

Title: Introduction to COMSOL Multiphysics and MEMS Applications
Presenter: Dr. Chandan Kumar, COMSOL Inc.
Time: Oct. 14 (Friday), 2016, 10:00am-12:00noon.

Abstract: We will first discuss major capabilities of COMSOL Multiphysics and the Application Builder, review how to create and build a model in COMSOL as well as converting an existing model into an App. Subsequently, we will show examples of MEMS Modeling with COMSOL, such as actuators, sensors, resonators, piezoelectric devices etc.

Bio: Chandan Kumar is an applications engineer specializing in structural analysis. He joined COMSOL in 2009. Chandan received his PhD from Penn State University, investigating the dynamics of the self-assembly of semiconductor quantum dots.

Panel #1:

Dr. Petryk

Title: Nanomaterials and Biomedical Applications
Presenters: Alicia A. Petryk1, Prabir Patra1, Xingguo Xiong1, Isaac Macwan1, Linfeng Zhang1, Adwiteeya Misra2.
1University of Bridgeport, USA.
2Medical Scientist Training Program, University of Rochester, USA.
Time: Oct. 15 (Saturday), 2016 at 11:00am-12:00noon.

Abstract: Nanomaterials have potential to be used in a number of applications in medicine, including therapeutic or diagnostic agents. Panelists will present on the manufacture and characterization of nanomaterials, as well as their applications, including their use as drug carrying and radiation sensitization agents, biosensors, hyperthermia components, as well as their unique imaging characteristics and toxicity considerations. Particular focus will be given to magnetic, iron oxide-based nanoparticles. Bacterial magnetosomes are one type of iron-oxide based nanomaterial, which is being developed for use as a diagnostic and therapeutic agent. Bacterial magnetosomes may be manipulated with the application of magnetic fields. This manipulation may be in the form of directional guidance to a desired target (while contained within the bacteria, or as a post-processed material) or as a means of inducing extremely localized heating (hyperthermia).
Hyperthermia has long been identified as a means of treating cancer, particularly when applied as an adjuvant therapy in combination with clinical standard of care (surgery, radiation, chemotherapy). However, clinical application has long been hindered by the difficulties associated with targeting heating with other hyperthermia platforms. By having potentially cell-specific heating (intracellular or cell-membrane associated) enabled by magnetic direction or particle coating design (materials and antibody direction), it may be possible to overcome the difficulties typically associated with therapeutic hyperthermia. In addition to heating, there is increasing interest in using these novel materials as a means of carrying chemotherapeutic or immune-stimulants, as well as radiation sensitization agents.
While much of the research surrounding the medical application of nanomaterials has focused on imaging or oncologic applications, other medical applications are also being investigated. The occlusion of fallopian tubes by means of localized ablation of the interior of the fallopian tube epithelium is an attractive alternative to surgery or the insertion of devices to mechanically block the migration of sperm. Unlike surgery, the transvaginal insertion of biodegradable material combined with external magnetic activation, is minimally invasive. As the occlusion will be scar tissue, the nanomaterial may degrade, eliminating the complications associated with non-biodegradable device migration.
While much of the research surrounding the medical application of nanomaterials has focused on imaging or oncologic applications, other medical applications are also being investigated. The occlusion of fallopian tubes by means of localized ablation of the interior of the fallopian tube epithelium is an attractive alternative to surgery or the insertion of devices to mechanically block the migration of sperm. Unlike surgery, the transvaginal insertion of biodegradable material combined with external magnetic activation, is minimally invasive. As the occlusion will be scar tissue, the nanomaterial may degrade, eliminating the complications associated with non-biodegradable device migration.

Bio:Alicia Petryk joined the University of Bridgeport in the fall of 2016, following her postdoctoral work at the Geisel School of Medicine at Dartmouth College, where she studied the cytotoxicity of ionizing radiation and hyperthermia induced with iron oxide magnetic nanoparticles and alternating magnetic fields. She completed her doctoral work at the Thayer School of Engineering at Dartmouth College, where she was also a Master of Engineering Management (MEM) student and a PhD Innovation Fellow. Her research interests include nanoparticle-cancer therapeutics, medical devices, cancer biology, biomaterials, the development of meaningful biologic models and experimental prototypes.

Panel #2:

Mr. George

Title: Robots in Education – Benefits and Open-Source Technologies for Educators.
Presenters: George I Fomitchev1, Sarosh Patel2, Jack Toporovsky2, Joseph (Jay) Lipp3, Mishah U. Salman4, Mohammad Azhar5, Kang Li6.
1Endurance robots, Inc.,
2University of Bridgeport, USA,
3Fairchild Wheeler Interdistrict Magnet High School,
4Stevens Institute of Technology,
5The City University of New York,
6Rutgers University.
Time: Oct. 15 (Saturday), 2016, 9:00am-10:00am.

Abstract: The panel will discuss the use of robotics to increase success in the interdisciplinary fields of electronics, computer engineering, computer science, mechanical design engineering and mathematics. Topics will also include: review of robotics research in smarter ground, air and underwater vehicles; open-source technologies; human-robot interaction; how to increase awareness and positive attitudes in robotics technology for underrepresented students; and incorporation of robotic technology curricula and activities with K-16 teaching. Endurance robots DIY SelfieBot education package (a practical, fully 3D printed robot for schools and colleges) will be discussed.

Bio:George I Fomitchev is futurist, entrepreneur, CEO and a founder of Endurance robots, Inc. He was a speaker on Monage conference in Boston on 21st of Sep, 2016. He was also the finalist of a RoboBusiness Pitchfire competition 28-29th of Sep, 2016.